Jaeden Schaefer

It's not automatically doing something for me.

And that example I just gave you is like very basic.

I mean,

I think ideally you would upload an audio file and it would fill out all of the data and automatically find the best time to post it and look at your calendar and blah, blah, blah, blah, blah.

Like it's just going through and automatically doing stuff.

That is what they're looking for, not a chat bar on the side.

Okay, so what are they less interested in?

What are investors less interested in investing in AI right now?

And what that is, is thin workflow layers.

So generic horizontal tools, light product management software, and surface level analytics.

If an AI agent can replicate the core value quickly, I think investors are not seeing this as very defensible.

So maybe even some of my previous examples weren't the greatest because in a sense, what they want tools to be able to do is have some sort of custom data set, some sort of

you know, deep integration into something that's super, super critical.

And it's not something that just like a chat GPT or anthropic can can replicate easily.

So it's really interesting.

what is actually being seen as defensible today.

So Abdul Abdirhan of F prime added that vertical software without any proprietary data moats is no longer super compelling.

So they actually want you to have a data moat, maybe you ran a you know, an

an FAQ legal website.

So you have all of this data on, you know, legal FAQ questions.